<div class="csl-bib-body">
<div class="csl-entry">Wagner, W., Brocca, L., Naeimi, V., Reichle, R., Draper, C., De Jeu, R., Ryu, D., Su, C.-H., Western, A., Calvet, J.-C., Kerr, Y., Leroux, D. J., Drusch, M., Jackson, T., Hahn, S., Dorigo, W., & Paulik, C. (2014). Clarifications on the “Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.” <i>IEEE Transactions on Geoscience and Remote Sensing</i>, <i>52</i>(3), 1901–1906. https://doi.org/10.1109/tgrs.2013.2282172</div>
</div>
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dc.identifier.issn
0196-2892
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/155790
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dc.description.abstract
In a recent paper, Leroux et al. compared three satellite soil moisture data sets (SMOS, AMSR-E, and ASCAT) and ECMWF forecast soil moisture data to in situ measurements over four watersheds located in the United States. Their conclusions stated that SMOS soil moisture retrievals represent "an improvement [in RMSE] by a factor of 2-3 compared with the other products" and that the ASCAT soil moisture data are "very noisy and unstable." In this clarification, the analysis of Leroux et al. is repeated using a newer version of the ASCAT data and additional metrics are provided. It is shown that the ASCAT retrievals are skillful, although they show some unexpected behavior during summer for two of the watersheds. It is also noted that the improvement of SMOS by a factor of 2-3 mentioned by Leroux et al. is driven by differences in bias and only applies relative to AMSR-E and the ECWMF data in the now obsolete version investigated by Leroux et al.
en
dc.language.iso
en
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dc.publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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dc.relation.ispartof
IEEE Transactions on Geoscience and Remote Sensing
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dc.subject
Electrical and Electronic Engineering
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dc.subject
General Earth and Planetary Sciences
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dc.title
Clarifications on the "Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S."
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
1901
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dc.description.endpage
1906
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dc.type.category
Original Research Article
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tuw.container.volume
52
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tuw.container.issue
3
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.researchTopic.id
C6
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tuw.researchTopic.id
C4
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tuw.researchTopic.name
Modelling and Simulation
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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dcterms.isPartOf.title
IEEE Transactions on Geoscience and Remote Sensing
